CHAOS Industries is seeking an Applied AI Engineer to develop, integrate, and deploy AI/ML-powered capabilities across its product lines. The role involves working closely with data scientists, software engineers, and mission stakeholders to conduct advanced AI research and turn it into reliable, real-world software, with a focus on defense applications. The engineer will build applied AI systems, perform research, evaluate model performance under real-world conditions, and develop production-quality software for data pipelines and model serving. The position requires on-site work at the San Francisco office at least two days per week.

Responsibilities

Build applied AI systems across CHAOS product lines, including model integration, inference services, evaluation pipelines, and production-facing AI capabilities
Perform research and build products by working with product and mission teams to research, collect data, verify hypothesis and create robust, testable, maintainable, and deployable models
Evaluate and improve model performance under real-world conditions, including adversarial GPS denied environments, low-power or edge deployments, and degraded or noisy inputs
Develop production-quality software for data pipelines for acquisition, model serving, monitoring, lifecycle management, data processing, and system integration.
Create rapid prototypes with mission and product teams, other relevant stakeholders and iterate toward production-ready implementations.
Contribute to AI system reliability, by conducting testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
Learn quickly from existing codebases, documentation, research artifacts, and domain experts, then use that knowledge to drive execution.
Manage time effectively across meetings, technical discovery, implementation, experimentation, and production support.

Requirements

BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related technical field.
2+ years of professional software development experience.
Strong Python programming skills.
Experience building, testing, deploying, and supporting production software systems.
Experience with AI/ML model integration, model serving infrastructure, or model lifecycle management.
Experience with model evaluation, benchmarking, robustness testing, interpretability, or ML observability.
Familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment environments/GPU optimization
Excited to learn unfamiliar technical domains

Nice to have

Experience with analog or digital RF signal processing
Experience with digital picture or video processing
Experience productizing machine learning models, LLM applications, computer vision systems, signal-processing systems, or autonomous/robotic systems.
Experience building AI agents or agentic workflows
Experience with drone, robotics, sensor fusion, tracking, or moving-target detection systems.
Contributions to open-source projects or technically significant public work.
Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments is a strong plus
Familiarity with edge deployment, low-latency inference, hardware-constrained systems, or degraded-connectivity environments.

Benefits

Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
Team Growth: 250 employees and counting across 5 global offices